What Youll Do:

- Lead resolution of high-severity/complex incidents across hybrid infrastructure.
- Architect and implement automation frameworks, self-healing workflows, and AI-driven ops.
- Define SRE best practices, reliability SLIs/SLOs/SLAs, and operational standards.
- Partner with application and platform engineering teams to improve resilience.
- Drive observability maturity: predictive monitoring, anomaly detection, automated RCA.
- Own continuous improvement of Engineer(s)/Sr Engineer(s) runbooks and automation pipelines.
- Provide technical leadership, mentor junior SREs, and conduct training.
- Identify new technologies, tools, and processes that elevate operational excellence.

What Youll Bring:

- 10+ years in SRE/DevOps/Systems/Platform Engineering as Principal or Staff engineer.
- Deep expertise in Kubernetes, distributed systems, and multi-cloud infrastructure.
- Strong knowledge of security, WAFs, and networking at scale.
- Advanced automation and programming (Python, Go, Terraform, Ansible).
- Experience applying AI/ML to operations (AIOps platforms, anomaly detection, predictive scaling).
- Solid incident command and leadership skills during outages.
- Proven track record of driving automation-first operations transformations.

Must Have Skills:

Incident Command & Complex Troubleshooting:

- Expectation: Take leadership during high-severity outages, orchestrating technical response across teams.
- Example:



Lead a Sev-1 bridge call where multiple microservices are failing due to cascading Kubernetes issues; coordinate DB, infra, network, security and app teams to isolate the problem.

Deep Kubernetes & Distributed Systems Expertise:

- Expectation: Design, troubleshoot, and optimize complex Kubernetes clusters and multi-region deployments
- Example: Diagnose why inter-cluster communication in a service mesh is causing intermittent API failures and propose architectural fixes.

Automation Framework Design (Infra & Ops):

- Expectation: Architect automation platforms to reduce manual toil, enable self-service, and support auto-remediation.
- Example: Build an Ansible/Terraform-based automation pipeline that provisions, configures, and tests new app environments with zero manual steps.

Observability Strategy & Advanced Monitoring:

- Expectation: Define enterprise-wide observability standards (SLIs/SLOs/SLAs), implement anomaly detection, and predictive monitoring.
- Example: Roll out a metrics-based SLO framework for all API services with automated burn-rate alerts in Prometheus.

Database & Application Performance Engineering:

- Expectation: Tune databases, caching layers, and app performance to handle scale.
- Example: Identify DB query patterns that degrade API performance and recommend schema/index optimizations.

Cross-Domain SME Knowledge (Networking, Storage, APIs):

- Expectation: Act as a go-to expert across infrastructure layers.

📌 Principal Engineer, Site Reliability (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad